Dell Inc. XPS 13 9310
Geekbench AI Score
4098
Single Precision Score
5337
Half Precision Score
7854
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 08:49 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 13 9310 |
| Motherboard | Dell Inc. 0GG9PT |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2591
481.9 IPS |
|
|
Image Classification (HP)
|
100% |
3491
649.2 IPS |
|
|
Image Classification (Q)
|
99% |
4432
826.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3640
59.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5538
89.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6128
99.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9992
11.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
7329
8.55 IPS |
|
|
Pose Estimation (Q)
|
97% |
28824
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
2355
186.8 IPS |
|
|
Object Detection (HP)
|
100% |
3142
249.3 IPS |
|
|
Object Detection (Q)
|
90% |
4471
357.5 IPS |
|
|
Face Detection (SP)
|
100% |
7097
84.3 IPS |
|
|
Face Detection (HP)
|
100% |
10995
130.6 IPS |
|
|
Face Detection (Q)
|
100% |
16039
190.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9503
73.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14172
109.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
18831
149.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25391
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36644
47.1 IPS |
|
|
Style Transfer (Q)
|
98% |
64338
83.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3595
132.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5468
201.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9013
333.8 IPS |
|
|
Text Classification (SP)
|
71% |
843
1.22 KIPS |
|
|
Text Classification (HP)
|
71% |
1053
1.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1043
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1281
22.2 IPS |
|
|
Machine Translation (Q)
|
89% |
1398
24.3 IPS |
